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๐Ÿš€ Building an Intelligent Document Processing System with AI on AWS: From YAML to Production with Kiro

DEV Community: serverlessยทluis zuรฑigaยทabout 1 month ago
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#dev#amazon#kiro#serverless#bedrock#opensearch
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๐Ÿ“Œ Executive Summary (TL;DR) We designed, implemented, and deployed a fully serverless intelligent document processing system leveraging Amazon Bedrock, Textract, Lambda, SQS, and OpenSearch Serverless. The entire ecosystem was orchestrated through CloudFormation in a three-tier architecture and developed using Kiro as an AI-driven development co-pilot. ๐Ÿ—๏ธ The Challenge: Automation at Scale The primary objective was to automate the lifecycle of thousands of documents. This required a system capable of: Autonomous Classification ๐Ÿ“‚ High-precision OCR Extraction ๐Ÿ” Business Rule Validation โœ… Data Persistence ๐Ÿ’พ Key Requirements: Asynchronous Architecture: Decoupled via SQS for durability. Cognitive Intelligence: Next-gen Generative AI reasoning. Enterprise Security: VPC isolation, WAF, and least-privilege IAM.โ€ฆ

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